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    <title>topic Re: Computing Inter-Rater Reliability - Different subjects are scored by different researchers in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Computing-Inter-Rater-Reliability-Different-subjects-are-scored/m-p/653427#M31423</link>
    <description>&lt;P&gt;Do you have pretty strong evidence that the two groups should have received a similar proportion of scores?&lt;/P&gt;
&lt;P&gt;Chi-sq might be appropriate. But if you don't have reason to believe that the subjects distribution of scores should be similar the differences could be the subjects and not the researchers.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I would be tempted to run a quick Proc Freq requesting the chi-sq just to see.&lt;/P&gt;</description>
    <pubDate>Thu, 04 Jun 2020 20:14:45 GMT</pubDate>
    <dc:creator>ballardw</dc:creator>
    <dc:date>2020-06-04T20:14:45Z</dc:date>
    <item>
      <title>Computing Inter-Rater Reliability - Different subjects are scored by different researchers</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Computing-Inter-Rater-Reliability-Different-subjects-are-scored/m-p/653410#M31422</link>
      <description>&lt;P&gt;Hi Community,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I would like to test if 2 different researchers are rating different subjects in the same manner with respect to a dichotomous outcome. I know if both researchers had rated the same subject separately, I could determine the degree of agreement by the Kappa statistic. However, in this case, the 2 researchers conducted the same intervention on different subjects using the same assessment. Is there a statistical test I could use run in SAS to compare concordance between these 2 researchers? Thanks so much for&amp;nbsp;your help! &amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Example Data set (Actual sample size = 790)&lt;/P&gt;&lt;P&gt;&lt;U&gt;Researcher 1&lt;/U&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;U&gt;&amp;nbsp;&amp;nbsp; Researcher 2&lt;/U&gt;&lt;/P&gt;&lt;P&gt;subject id&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; completeness_rating&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; subject id&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; completeness_rating&lt;/P&gt;&lt;P&gt;1001&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Complete&amp;nbsp; (coded as 3)&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 2001&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Complete (coded as 3)&lt;/P&gt;&lt;P&gt;1002&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Partial&amp;nbsp; (coded as 2)&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 2002&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;Incomplete (coded as 1)&lt;/P&gt;&lt;P&gt;1003&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Incomplete (coded as 1)&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;2003&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;Incomplete (coded as 1)&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 04 Jun 2020 19:34:28 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Computing-Inter-Rater-Reliability-Different-subjects-are-scored/m-p/653410#M31422</guid>
      <dc:creator>Kimberly09</dc:creator>
      <dc:date>2020-06-04T19:34:28Z</dc:date>
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    <item>
      <title>Re: Computing Inter-Rater Reliability - Different subjects are scored by different researchers</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Computing-Inter-Rater-Reliability-Different-subjects-are-scored/m-p/653427#M31423</link>
      <description>&lt;P&gt;Do you have pretty strong evidence that the two groups should have received a similar proportion of scores?&lt;/P&gt;
&lt;P&gt;Chi-sq might be appropriate. But if you don't have reason to believe that the subjects distribution of scores should be similar the differences could be the subjects and not the researchers.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I would be tempted to run a quick Proc Freq requesting the chi-sq just to see.&lt;/P&gt;</description>
      <pubDate>Thu, 04 Jun 2020 20:14:45 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Computing-Inter-Rater-Reliability-Different-subjects-are-scored/m-p/653427#M31423</guid>
      <dc:creator>ballardw</dc:creator>
      <dc:date>2020-06-04T20:14:45Z</dc:date>
    </item>
    <item>
      <title>Re: Computing Inter-Rater Reliability - Different subjects are scored by different researchers</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Computing-Inter-Rater-Reliability-Different-subjects-are-scored/m-p/653451#M31424</link>
      <description>&lt;P&gt;Thank you for your reply. No, I don't have statistical evidence as to whether the 2 groups should have similar scores. However, the groups have similar demographic and clinical characteristics and the researchers seem to think the scores should be similar. I haven't done any statistical test to determine if&amp;nbsp;this is the case (so far, I've only run the usual proc freq/univariate procedures). Here comes a basic question regarding the chi-square test.....Would I use the code below to determine if there's an association between the completeness variable and site (researchers), and if so, then what would I need to do?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;PRE&gt;proc freq data=check; 
tables complete_rate*site/chisq; /*the 2 researchers are at different sites/medical facilities*/
run; &lt;/PRE&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 04 Jun 2020 22:46:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Computing-Inter-Rater-Reliability-Different-subjects-are-scored/m-p/653451#M31424</guid>
      <dc:creator>Kimberly09</dc:creator>
      <dc:date>2020-06-04T22:46:44Z</dc:date>
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